Evidence map›Paper›PMID 37723608›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2024

Proteinuria, measured or estimated albuminuria for risk prediction in patients with chronic kidney disease?

Hyoungnae Kim, Young Youl Hyun, Young Su Joo, Hae-Ryong Yun, Yaeni Kim, Ji Yong Jung, Jong Cheol Jeong, Jayoun Kim, Jung Tak Park, Tae-Hyun Yoo and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Cardiovascular Disease in CKD: Ethnic and Regional Differences in Risk and Phenotype.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Review
  3. Article
  4. Article
  5. Association of UACR and UPCR with kidney failure: analysis of observational data in patients with rare kidney diseases.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Observational
  6. Article
  7. Ethnic Disparities in CKD Progression: A Comparative Study of CRIC and KNOW-CKD Cohorts.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 8 institutions in 1 country.

Hyoungnae KimDivision of Nephrology, Soonchunhyang University Seoul Hospital, Seoul, Korea.ORCID 0000-0002-5359-0214
Young Youl HyunDepartment of Internal Medicine, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, Korea.
Young Su JooDepartment of Internal Medicine, Yonsei University, Institute of Kidney Disease Research, College of Medicine, Seoul, Korea.ORCID 0000-0002-7890-0928
Hae-Ryong YunDepartment of Internal Medicine, Yonsei University, Institute of Kidney Disease Research, College of Medicine, Seoul, Korea.
Yaeni KimDivision of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, Seoul, Korea.
Ji Yong JungDivision of Nephrology, Department of Internal Medicine, Gil Medical Center, Gachon University, Incheon, Korea.
Jong Cheol JeongDivision of Nephrology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Jayoun KimMedical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea.
Jung Tak ParkDepartment of Internal Medicine, Yonsei University, Institute of Kidney Disease Research, College of Medicine, Seoul, Korea.ORCID 0000-0002-2325-8982
Tae-Hyun YooDepartment of Internal Medicine, Yonsei University, Institute of Kidney Disease Research, College of Medicine, Seoul, Korea.
Shin-Wook KangDepartment of Internal Medicine, Yonsei University, Institute of Kidney Disease Research, College of Medicine, Seoul, Korea.
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Seung Hyeok HanDepartment of Internal Medicine, Yonsei University, Institute of Kidney Disease Research, College of Medicine, Seoul, Korea.ORCID 0000-0001-7923-5635
Yonsei University · KRGachon University Gil Medical Center · KRKangbuk Samsung Hospital · KRSeoul National University · KRSeoul National University Bundang Hospital · KRSeoul National University Hospital · KRSoonchunhyang University Hospital Seoul · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

Korea Disease Control and Prevention Agency 2011E3300300
6 · The paper itself

Abstract

backgroundAlthough albuminuria is the gold standard for defining chronic kidney disease (CKD), total proteinuria has also been widely used in real-world clinical practice. Moreover, the superiority of the prognostic performance of albuminuria over proteinuria in patients with CKD remains inconclusive. Therefore, we aimed to compare the predictive performances of albuminuria and proteinuria in these patients.

methodsFrom the Korean Cohort Study for Outcome in Patients with CKD we included 2099 patients diagnosed with CKD grades 1-5 who did not require kidney replacement therapy. We measured the spot urine albumin:creatinine ratio (mACR) and protein:creatinine ratio (PCR) and estimated the ACR (eACR) using the PCR. Kidney failure risk equation (KFRE) scores were calculated using the mACR, PCR and eACR. The primary outcome was the 5-year risk of kidney failure with replacement therapy (KFRT).

resultsThe eACR significantly underestimated mACR in patients with low albuminuria levels. The time-dependent area under the receiver operating characteristics curve showed excellent predictive performance for all KFRE scores from the mACR, PCR and eACR. However, eACR was inferior to mACR based on the continuous net reclassification index (cNRI) and integrated discrimination improvement index (IDI) in all CKD cause groups, except for the group with an unclassified aetiology. Moreover, the cNRI and IDI statistics indicated that both eACR and PCR were inferior to mACR in patients with low albuminuria (<30 mg/g). Conversely, the predictive performance of PCR was superior in severe albuminuria and nephrotic-range proteinuria, in which the IDI and cNRI of the PCR were greater than those of the mACR.

conclusionsThe mACR, eACR and PCR showed excellent performance in predicting KFRT in patients with CKD. However, eACR was inferior to mACR in patients with low albuminuria, indicating that measuring rather than estimating albuminuria is preferred for these patients.

Indexed as

AlbuminuriaRenal Insufficiency, ChronicCohort StudiesCreatinineGlomerular Filtration RateHumansProteinuriaCreatininealbuminuriachronic kidney diseasekidney failure with replacement therapypredictionproteinuria

Identifiers

PMID37723608
PMCPMC11024809
OpenAlexW4386843702

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.